What you'll do:

• You will participate in cutting edge research in machine learning and computer vision

• Learn and implement state of the art best practices to create accurate and lightweight models

• You will have the freedom to write research papers and publish yourself in top conferences.

• You will apply your knowledge to analyse problems, devise solutions and construct valid metrics

with best practices.

• Come up with practical and deployable solutions. Ensure successful technology transfers to 

products

What makes you great fit:

• A BS, MS, PhD or equivalent experience in a quantitative field (Computer Science, Applied

Mathematics or related technical field).

• Experience in one or more of the following areas - Image Restoration, Image Enhancement,

Unsupervised Learning, Compression, Generative Models, 3D computer vision, Object detection

and tracking or related computer vision topics

• Multiple publications in top conferences

• Strong background and understanding of mathematical concepts relating to probabilistic models,

linear algebra and probability

• Knowledge of computer vision/image processing techniques and awareness for existing and

trending algorithms and research of Computer Vision domain.

• Programming experience in one or more of the following: C, C++, Python, and/or functional

programming languages and deep learning frameworks like - - Tensorflow/Keras/PyTorch

About us:

Founded in 2021 by Stanford University dropouts, Aadit Palicha and Kaivalya Vohra, We are India’s fastest growing e-grocery company valued at $1.4 Billion following its recent Series-E fundraise of $200 Million from marquee global investors including StepStone Group, Goodwater Capital, Y Combinator Continuity, Kaiser Permanente, Nexus Venture Partners, Glade Brook Capital, and Lachy Groom